首页|期刊导航|浙江农林大学学报|北京奥林匹克森林公园不同植被类型土壤呼吸时空动态特征

北京奥林匹克森林公园不同植被类型土壤呼吸时空动态特征OA

Spatiotemporal dynamics of soil respiration across different vegetation types in Beijing Olympic Forest Park

中文摘要英文摘要

[目的]探究城市森林不同植被类型土壤呼吸的时空动态特征及其影响因素,以期为区域碳预估提供理论参考.[方法]以北京奥林匹克森林公园为研究对象,采用便携式土壤呼吸测量仪,于 2023年 4-10月每月测定该公园 26个样地(乔木群落与乔灌混交群落各 13个)的土壤呼吸、土壤温度和土壤含水量,并结合高分辨率归一化植被指数,对土壤呼吸的季节与空间变化及其影响因素进行拟合分析.[结果]①土壤呼吸和土壤温度的季节动态一致,均呈现先上升后下降单峰变化.乔木群落土壤呼吸均值为 4.83 μmol·m-2·s-1,大于乔灌混交群落的 4.42 μmol·m-2·s-1.②土壤温度可以分别解释乔木群落和乔灌混交群落土壤呼吸季节变化的 90.0%和 73.0%,土壤含水量可以分别解释 28.0%和 37.0%,综合考虑温度-水分的双因子模型可以分别解释 93.0%和 82.0%.③乔灌混交群落土壤呼吸的空间变异系数与土壤含水量变化趋势相似,两者极显著正相关[决定系数(R2)为 0.88,P<0.01],乔木群落土壤呼吸空间变化与土壤温度之间呈现极显著的非线性关系(R2=0.65,P<0.01).④土壤呼吸对土壤温度的响应存在时空差异,时间上为近似直线增加,空间上为非线性响应,而土壤呼吸虽然时间和空间上都随土壤含水量的增加而增加,但其增加速率存在差异.[结论]城市森林土壤呼吸对环境因素的响应存在时空差异:土壤温度是主导城市森林土壤呼吸季节变化的主要因素,城市森林土壤呼吸空间变化主要影响因素在不同植被类型间存在差异.图6表2参38

[Objective]This study aims to investigate the spatiotemporal dynamics,as well as the driving factors of soil respiration across different vegetation types of urban forests,so as to provide theoretical references for regional carbon estimation.[Method]Taking Beijing Olympic Forest Park as the research object,a portable soil respiration measurement system was used to measure soil respiration(Rs),soil temperature(Ts),and soil water content(CSW)of 26 sample plots(13 in the arbor community and 13 in the arbor-shrub mixed community)monthly from April to October in 2023.And combined with high-resolution n ormalized difference vegetation index(INDV),a fitting analysis was conducted on the seasonal and spatial variations of Rs and the influencing factors.[Result](1)The seasonal dynamics of Rs and Ts were consistent,showing a unimodal pattern of first increasing and then decreasing.The average Rs in the arbor community(4.83 μmol·m-2·s-1)was higher than that in the arbor-shrub mixed community(4.42 μmol·m-2·s-1).(2)Ts accounted for 90.0%and 73.0%of the seasonal variation in Rs in the arbor and arbor-shrub mixed community,respectively,while CSW explained 28.0%and 37.0%.A dual-factor model incorporating both temperature and moisture could explain 93.0%and 82.0%of the variation,respectively.(3)The spatial coefficient of variation of Rs in the arbor-shrub mixed community was similar to the variation trend of CSW,with a significant positive correlation between the two(R2=0.88,P<0.01).In contrast,there was a highly significant nonlinear relationship between the spatial variation of Rs and Ts(R2=0.65,P<0.01)in the arbor community.(4)The response of Rs to Ts varied in time and space,with an approximately linear increase in time and a nonlinear response in space.Although Rs increased with the increase of CSW in both time and space,the rate of increase varied.[Conclusion]The response of Rs to environmental factors in urban forests exhibits spatiotemporal variations.Ts is the driving factor of seasonal variations in Rs,while the dominant factors of spatial variation of urban forest Rs vary among different vegetation types.[Ch,6 fig.2 tab.38 ref.]

谢修强;刘鹏;赵洪贤;李钦渊;骆科梅;查天山

北京林业大学 水土保持学院,北京 100083||北京林业大学 水土保持国家林业和草原局重点实验室,北京 100083北京林业大学 水土保持学院,北京 100083||北京林业大学 水土保持国家林业和草原局重点实验室,北京 100083||北京林业大学 林木资源高效生产全国重点实验室,北京 100083北京林业大学 水土保持学院,北京 100083||北京林业大学 水土保持国家林业和草原局重点实验室,北京 100083北京林业大学 水土保持学院,北京 100083||北京林业大学 水土保持国家林业和草原局重点实验室,北京 100083北京林业大学 水土保持学院,北京 100083||北京林业大学 水土保持国家林业和草原局重点实验室,北京 100083北京林业大学 水土保持学院,北京 100083||北京林业大学 水土保持国家林业和草原局重点实验室,北京 100083||北京林业大学 林木资源高效生产全国重点实验室,北京 100083

农业科技

城市森林土壤呼吸季节变化空间变化北京

urban forestsoil respirationseasonal variationspatial variationBeijing

《浙江农林大学学报》 2026 (2)

395-404,10

国家自然科学基金资助项目(32101588)中央高校基本科研业务费专项资金(2021ZY49)

10.11833/j.issn.2095-0756.20250206

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